From Prediction to Action: Moving Beyond Machine Learning to Implementing Evidence-Based Perinatal Mental Health Care.
作者信息
Lewkowitz Adam K, Miller Emily S
机构信息
Department of Obstetrics and Gynecology (Lewkowitz, Miller) and Department of Psychiatry and Human Behavior (Miller), Warren Alpert Medical School at Brown University, Providence, RI; Center for Digital Health (Lewkowitz) and Department of Health Services Policy and Practice (Miller), Brown School of Public Health, Providence, RI.
出版信息
Am J Psychiatry. 2025 Jun 1;182(6):506-508. doi: 10.1176/appi.ajp.20250241.
Abstract
摘要
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Optimizing a Novel Smartphone App to Prevent Postpartum Depression Adapted From an Evidence-Based Cognitive Behavioral Therapy Program: Qualitative Study.优化一款源自循证认知行为疗法项目的新型智能手机应用程序以预防产后抑郁：定性研究
JMIR Hum Factors. 2024 Dec 9;11:e63143. doi: 10.2196/63143.
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Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data.利用基于电子健康记录数据训练的机器学习预测住院精神科治疗后的非自愿入院情况。
Psychol Med. 2024 Nov 18;54(15):1-14. doi: 10.1017/S0033291724002642.
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Screening and Diagnosis of Mental Health Conditions During Pregnancy and Postpartum: ACOG Clinical Practice Guideline No. 4.妊娠期和产后心理健康状况的筛查与诊断：ACOG 临床实践指南第 4 号。
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